An Recognised Datamining Algortihm for
E-Learning System
R.Karthikeyan1 K.G.S.Venkatesan2, Sundararajan.M3, Arulselvi S4
1Asst. Professor Dept of CSE, Bharath University, Chennai, Tamil Nadu, India 2
Asst. Professor Dept of CSE, Bharath University, Chennai, Tamil Nadu, India
3
Director, Research Center for Computing and Communication, Bharath University, Chennai, Tamil Nadu, India
4
Co-Director, Research Center for Computing and Communication, Bharath University, Tamil Nadu, India
ABSTRACT: The technology e-Learning may be a terribly ancient in education system technology and e-learning may be a undertaking. A key advantage of Mobile Learning (m-learning) is it‟s potential for increasing productivity by creating learning on the market anyplace, anytime. as a result of mobile devices have the facility to create learning even additional wide on the market and accessible, mobile devices square measure a natural extension of e-learning. Imagine the facility of learning that's actually "just-in-time," wherever we tend to may really access coaching at the precise place and time on the task that we'd like it.
In this paper we tend to analysis the way to learn ,details concerning varied styles of questionnaires square measure analysis and integrated by capabilities of remodel each actions and each activities for personal and big selection. the power to capture details concerning the time, location, and people. the complete web can become each personal and moveable. Such technologies can have an excellent impact on learning. Learning can move additional and additional outside of the room and into the learner's environments, each real and virtual and therefore the m-Learning is well positioned to champion these innovations. This paper leads to the look and implementation of pointers is required so as to with success and effectively use mobile technologies for education/training and performance support among integrated learning environments, across varied communities of observe, composed of learners having varied talent levels.
KEYWORDS: Wide Range, M-Learning System, Theory based m learning, E-Learning.
I. FOR E-LEARNING TO M-LEARNING
facilitate the transformation of Information into Knowledge, by humans as well as – progressively – by software agents, providing the electronic underpinning for a global society in business, government, research, science, education and entertainment (semantic aspects).
Mobile technology will add ubiquitous and pervasiveness to the network potential, and in this vision it will not be only a medium to access the network, but the mobile devices will be part of the web itself, in this way, it will evolve towards a nomadic system. It is worth mentioning that the environment of nomadic computing is very different from that of traditional distributed systems. In such an environment there is a variety of mobile workstations, handheld devices, and smart phones, which nomadic users use to access services in the Internet.
II. LINKING M-LEARNING TO EDUCATION THEORY
Most reviews of technologies and m-Learning have been concerned with technologies to address specific curriculum areas or delivery issues. In addition, there has been some theoretical interest in building m-Learning into existing education theory[1]. This relates m-Learning to an activity centred perspective, essentially considering new practices against existing education theories. A review of the literature reveals six broad theory-based categories of activity, and identifies a number of examples of the use of mobile technology in each of them.
2.1. Behaviourist: activities that promote learning as a change in learners’ observable actions
In the behaviourist paradigm, learning is thought to be best facilitated through the reinforcement of an association between a particular stimulus and a response. Applying this to educational technology, computer-aided learning is the presentation of a problem (stimulus) followed by the contribution on the part of the learner of the solution (response). Feedback from the system then provides reinforcement. In an m-Learning context, classroom response systems like “Classtalk” and as well as an examples of content delivery by text messages to mobile phones.
2.2. Constructivist: activities in which learners actively construct new ideas or concepts based on both their previous and current knowledge
In a constructivist approach, learners are encouraged to be active constructors of knowledge, mobile devices embedding them in a realistic context, at the same time as offering access to supporting tools. Compelling examples of the implementation of constructivist principles with mobile technologies come from a brand of learning experience termed „participatory simulations‟, where the learners themselves act out key parts in an immersive recreation of a dynamic system. Examples include the Virus Game, Savannah, and the Environmental Detectives.
2.3. Situated Learning: activities that promote learning within an authentic context and culture
Situated learning posits that learning can be enhanced by ensuring that it takes place in an authentic context. Mobile devices are especially well suited to context-aware applications simply because they are easily available in different contexts, and so can draw on those contexts to enhance the learning activity. The museum and gallery sector has been at the forefront of context-aware mobile computing to extend the gallery experience into personalized learning.
2.4. Collaborative: activities that promote learning through social interaction.
Mobile collaborative learning has developed from computer-supported collaborative work and learning and is based on the role of social interactions in the process of learning. Mobile devices can support mobile computer-supported collaborative learning by providing other coordination strategies without attempting to replace any human-human interactions, as compared to say, online discussion boards which substitute for face-to-face discussions.
2.5. Informal and lifelong learning: activities that support learning outside a dedicated learning environment and formal curriculum.
occurring through intensive, significant and deliberate learning “projects”, or it may be accidental and occur as individuals acquire information through conversations, TV and newspapers, observing the world or even experiencing an accident or embarrassing situation. Such a broad view of learning takes it outside the classroom and, by default, embeds learning in everyday life, thus emphasizing the value of mobile technologies in supporting it.
2.6. Learning and teaching management: activities that assist in the coordination of learners and resources for learning activities.
Education as a process requires considerable learner and resources management. Mobile devices have been used by teachers for activities such as attendance reporting, reviewing student marks and achievements, accessing central school data and coordinating class timetables and locations. In higher education, mobile devices provide course material to students, including assignment due dates and information about timetable and room changes. A blended approach to enabling learning with mobile technologies is necessary as successful and engaging activities increasingly draw on a number of different education theories and practices.
III. TECHNOLOGIES AND ISSUES IN DELIVERY OF M-LEARNING
A connected, mobile society is emerging from the world of the book - with varied information sources and means of communication available at home, work, and school and in the community. This has been described as the beginning of the next social revolution and with it comes both new capabilities and new expectations. For example, the legacy concept of the PDA as a device to manage personal information has been extinguished and superseded by a realistic opportunity for learners to experience multimedia via their handset, regardless of whether the device is considered primarily a phone or a handheld computer. There is considerable interest in exploiting the almost universal appeal and abundance of mobile devices for their educational use. The Internet is increasingly considered as, and is being used as, an educational tool accessible via these devices. Devices have become more portable, affordable, effective and easy to use and increasingly connect users to a wide range of information services and educational opportunities. They are more cheaply priced than desktop computers, and therefore represent a less expensive method of accessing the Internet, although the cost of connection can be higher. The ubiquitous nature of mobile devices provides opportunities for increasing participation and access to ICT and education, and in particular to utilising services delivered via the Internet.
IV. HERALDING THE M-LEARNING REVOLUTION
WAP. Bluetooth is the universal radio interface for wireless connectivity. Previous portable devices used infrared links, were limited, were sensitive to direction, needed direct line-of-sight, and could only link two devices. By contrast, the Bluetooth air connectivity uses radio links, which have much greater range, can function around objects, can go through certain materials, and can connect to many devices at the same time. General packet radio system (GPRS) brings official data and internet connectivity to mobile terminals giving instant, transparent, IP access with no call set up time. Wireless access protocol (WAP) brings web browser usability of the Internet to mobile terminals. It provides data-oriented, non-voice, services, anywhere and at any time The major manufacturers are committed to global standardization of third generation mobile systems in radio environments like wide-band code division multiple access. The challenge for distance systems at the dawn of the third millennium is to develop informative environments for mobile phones and mobile computing devices as the availability of mobile devices to a billion users. The mobile telephone is becoming a trusted, personal device with Internet access, smart card usage, and a range of possibilities for keeping the distance student in touch with the institution‟s student support services, in contact with learning materials and fellow students, while at home, or at work, or traveling.
V. TYPES OF MOBILE INTERNET CONNECTIVITY
1. Global systems for mobile communication (GSM) are designed for voice communications, but adapted for
small amounts of data transfer. One of the feature is on-the-air privacy that the GSM system provides. The privacy is maintained by encryption of the digital data according to a specific secret cryptographic key that is known only to the cellular carrier and the key is changed with time[5].
2. High speed circuit switched data (HSCSD) is designed to allow GSM to transfer data at rates of up to four times the original network data rates.
3. General packet radio services (GPRS) are designed to give increased data rates as well as charging based on
amounts of data transferred rather than the time spent transferring the data.
4. Third generation (3G) mobile offer a consistent set of services to mobile computer and phone users. Increased
data rates (up to a theoretical maximum of 2Mbps) should allow a far wider range of services, including video conferencing.
5. Enhanced data GSM environment (EDGE) is designed to co-exist with GSM. It should allow GSM operators
who don‟t have licences for the 3G spectrum to provide users with data rates that would, in some cases, challenge 3G data rates (up to a theoretical maximum of 554Kbps).
6. Public access WLAN enable users to access the Internet in localised “hotspots” via a wireless local area network (WLAN) access card and a personal digital assistant (PDA) or laptop. While data speeds are relatively fast compared with mobile telecommunication technology data rates, their range is short.
7. Linked public access WLANs is to link a number of public access WLANs to give high speed access in, for
example, the centre of a town.
8. Public access WLAN and mobile telecommunication convergence is to access technology allowing
users/devices to move between a telecommunications technology (eg GPRS, 3G) and public access.
9. WLAN to gain the highest available data rate, depending on geographical location is currently being discussed, it is likely that devices will become available for seamless roaming between technologies.
VI. SELECTED EXAMPLES OF TECHNOLOGIES THAT COULD BE USEFULLY APPLIED IN
M-LEARNING
1. Podcasting is likely proliferation of audio content to mobile devices, link to broadcasts from free to air media, FM radio, or organisation specific broadcast (eg lectures professional development).
2. Audio and video Blogging in“mBlogging” simplifies posting of audio and video content to blogs.
3. Integrated location and communication capabilities are applied in GPS, GIS, RFIDS, sensors and other technologies into mobile devices to support experimental learning.
VII.M-LEARNING TRIALS AND TRENDS
The field of m-Learning is characterized by a proliferation of pilots and trials that allow mobile technologies to be tested in a variety of learning contexts[3]. These initiatives are increasingly collaborative, on a larger scale, and are being managed by national authorities (or larger consortia) rather than by individual university faculties or local education organisations. A significant number of m-Learning development projects have been continued largely because of potential capacity to support policy delivery, together with its significant implications for economic development and unification. The focus on m-Learning is creating an environment of evolving practices in education. Sustained deployment of m-Learning will be refined through sharing outcomes of the pilot activities and trials, ongoing evaluation, and the reporting and analysis of implications that arise. The current trends in mobile computing are towards devices that are even more embedded, ubiquitous and networked than those currently available. The capabilities of mobile phones, PDAs, games consoles and cameras will likely further merge within the next five to ten years to provide a networked, multimedia device on support. In the short space of five years, m-Learning has already moved from being a theory, explored by academic and technology enthusiasts, into making a real and valuable contribution to the provision of learning opportunities. However, despite pockets of excellence, significant research examples and its demonstrated capacity for strategic change in education delivery, effectively blending of m-Learning into current education strategies and practice remains fragmented, rather than widespread in education delivery. Research has revealed a rich vision for current and potential developments in education, moving away from the initial simplistic view of m-Learning as a potentially isolating activity. Exploring m-Learning as a rich and collaborative experience, whether in classrooms, homes or the streets of a city. It challenges some existing theories of learning, but shared m-Learning activities will help evaluate and identify the most relevant applications of mobile technologies in education.
VIII. TOOLS FOR M-LEARNING
The „Mobile Learning Engine‟ MLE has been developed by using the Java 2 Micro Edition (J2ME) and its platform independentness enables handling of:
• Different operating systems (Symbian OS, Microsoft MS Pocket PC, Pal Os, etc)
• A variety of different screen resolution
• Different input possibilities (keypad, keyboard or pointer device)
Realization of a platform–independent application, which can be used on a variety of different operating systems of mobile phones, a standardized development environment is required, such as the J2ME. Almost every mobile phone to date is java enabled, this means it is capable of executing J2ME applications and also make the creation of mobile, internet based applications possible with the use of additional libraries. Multimedia-based applications of these additional libraries vary from producer to producer but the basic rule is: „the newer the smartphone‟, more J2ME libraries are supported[2].
Mobile interactive learning objectives (MILOs) for m-learning can generally be structured the same way as learning objects for e-learning. The limitation of screen size, very little continuous text shall be used such as figures and pictures, video or audio and output of spoken text. M-learning basically used during idle periods through such periods end abruptly. For instance a student waiting for a bus can use this time for learning on a mobile phone including the journey time. In contrast to passive, receptive, traditional learning, MILOs should be designed for explorative or discovery learning with out rigidity. This type of learning is a hyper media system that is network multimedia- based content, which in a broader perspective is a knowledge system.
IX. CONCLUSION
The technology e-Learning may be a terribly ancient in education system technology and e-learning may be a abundant effort is being spent on info technology and its integration at intervals the training setting. Institutional entity is disbursal abundant effort on multi-cultural learning resources and environments. The learner includes home users, unsettled users, institutional users, youngsters and adult users. the variability of learning environments includes standalone, classroom, networked, internet-based, nomadic, united (groups of resources), distance, cooperative, asynchronous, synchronous, and so on. With of these environments and international participants the rising of a brand new generation mobile. The attractiveness of this learning vision is that the capability of harnessing and sharing the just about universal convenience of mobile devices to education and coaching. This widespread convenience may be controlled and exploited to produce access to coaching opportunities for those that otherwise could be at a drawback for geographic (wireless networks span the rural-urban divide), economic (mobile handsets square measure comparatively inexpensive) or social reasons, however in the main to require in situ innovative contextualized learning approach, wherever the learner “achieves” information and skills in a vigorous approach rather than merely storing info. The realism are the cornerstone of such a learning setting. The target to be ready for successive generation of learning and coaching is that the development of a mobile grid infrastructure for the availability of unsettled learning can meet this want gap new eventualities for each the telecommunication trade and also the developing e-learning.
M-learning attracts the redundant learners to find out because it becomes a customized learning as compared to ancient instruction based mostly category space learning wherever the concentration of the learner don't seem to be complete or 100 percent thanks to sizable amount of attendees. several learners timidity, reluctance to create the training as a interactive one in school space is over return by m-learning because the learners square measure targeted on the data and enhances shallowness and confidence. because the learning within the category space for the dynamic and dynamic world has limitation it's a preferred mean of self learning on the far side the program.
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